引用次数
引用: 1,363
H-指数: 19
I10-指数 : 23
出版物: 82
DiscoverySpace: an interactive data analysis application
Neil Robertson , Mehrdad Oveisi-Fordorei , Scott Zuyderduyn , Richard Varhol
Genome Biology 8 ( 1) 1 -13
39
2007
Belief change and base dependence
James P. Delgrande , Francis Jeffry Pelletier , Fred Popowich , Mehrdad Oveisi
principles of knowledge representation and reasoning 151 -159
3
2014
HiResPET: high resolution PET image generation using deep convolution encoder decoder network
Parham Geramifar , Pardis Ghafarian , Arman Rahmim , Mohammad Reza Ay
The Journal of Nuclear Medicine 60 1368 -1368
5
2019
Simultaneous Attenuation Correction and Reconstruction of PET Images Using Deep Convolutional Encoder Decoder Networks from Emission Data
Parham Geramifar , Pardis Ghafarian , Arman Rahmim , Arman Rahmim
The Journal of Nuclear Medicine 60 1370 -1370
5
2019
PSFNET: ultrafast generation of PSF-modelled-like PET images using deep convolutional neural network
Parham Geramifar , Pardis Ghafarian , Arman Rahmim , Mohammad Reza Ay
The Journal of Nuclear Medicine 60 1369 -1369
6
2019
Noninvasive Fuhrman grading of clear cell renal cell carcinoma using computed tomography radiomic features and machine learning
Mohammad Reza Deevband , Habib Zaidi , Isaac Shiri , Hamid Abdollahi
Radiologia Medica 125 ( 8) 754 -762
84
2020
Can PET/CT Radiomics Harmonization Improve Gene Mutation Status Prediction in Non-small Cell Lung Cancer?
Isaac Shiri , Mostafa Nazari , Ghasem Hajianfar , Mehdi Amini
The Journal of Nuclear Medicine 62 1434 -1434
2021
Repeatability of radiomic features in magnetic resonance imaging of glioblastoma: Test-retest and image registration analyses.
Isaac Shiri , Ghasem Hajianfar , Ahmad Sohrabi , Hamid Abdollahi
Medical Physics 47 ( 9) 4265 -4280
9
2020
Direct attenuation correction of brain PET images using only emission data via a deep convolutional encoder-decoder (Deep-DAC)
Isaac Shiri , Pardis Ghafarian , Parham Geramifar , Kevin Ho-Yin Leung
European Radiology 29 ( 12) 6867 -6879
34
2019
Assessment and integration of publicly available SAGE, cDNA microarray, and oligonucleotide microarray expression data for global coexpression analyses.
Obi L. Griffith , Erin D. Pleasance , Debra L. Fulton , Mehrdad Oveisi
Genomics 86 ( 4) 476 -488
45
2005
MFP-Unet: A novel deep learning based approach for left ventricle segmentation in echocardiography
Shakiba Moradi , Mostafa Ghelich Oghli , Azin Alizadehasl , Isaac Shiri
Physica Medica 67 58 -69
19
2019
Noninvasive O6 Methylguanine-DNA Methyltransferase Status Prediction in Glioblastoma Multiforme Cancer Using Magnetic Resonance Imaging Radiomics Features: Univariate and Multivariate Radiogenomics Analysis
Ghasem Hajianfar , Isaac Shiri , Hassan Maleki , Niki Oveisi
World Neurosurgery 132 e140 -e161
47
2019
Kernel Contraction and Base Dependence
Mehrdad Oveisi , James P Delgrande , Francis Jeffry Pelletier , Fred Popowich
Journal of Artificial Intelligence Research 60 97 -148
1
2017
Next-Generation Radiogenomics Sequencing for Prediction of EGFR and KRAS Mutation Status in NSCLC Patients Using Multimodal Imaging and Machine Learning Algorithms
Isaac Shiri , Hasan Maleki , Ghasem Hajianfar , Hamid Abdollahi
Molecular Imaging and Biology 22 ( 4) 1132 -1148
30
2020
Using Echo Sounder Technology for Detecting and Predicting Local Sea State
Mehrdad Oveisi , Fred Popowich , Saida Harle , Maia Hoeberechts
conference on the future of the internet 505 -511
1
2015
Impact of feature harmonization on radiogenomics analysis: Prediction of EGFR and KRAS mutations from non-small cell lung cancer PET/CT images
Isaac Shiri , Mehdi Amini , Mostafa Nazari , Ghasem Hajianfar
Computers in biology and medicine 142 105230
15
2022
Overall survival prediction in renal cell carcinoma patients using computed tomography radiomic and clinical information
Zahra Khodabakhshi , Mehdi Amini , Shayan Mostafaei , Atlas Haddadi Avval
Journal of digital imaging 34 1086 -1098
30
2021
Late Gadolinium enhanced cardiac magnetic resonance imaging radiomics for high precision differentiation of scar and viable cardiac tissues
Elham Avard , Isaac Shiri , Ghasem Hajianfar , Hamid Abdollahi
Smpte Journal 1 -4
1
2020
Overall survival prognostic modelling of non-small cell lung cancer patients using positron emission tomography/computed tomography harmonised radiomics features: The quest for the optimal machine learning algorithm
Mehdi Amini , Ghasem Hajianfar , Atlas Hadadi Avval , Mostafa Nazari
Clinical Oncology 34 ( 2) 114 -127
28
2022
COVID-19 prognostic modeling using CT radiomic features and machine learning algorithms: Analysis of a multi-institutional dataset of 14,339 patients
Isaac Shiri , Yazdan Salimi , Masoumeh Pakbin , Ghasem Hajianfar
Computers in biology and medicine 145 105467
27
2022